Software Engineer - AI & Machine Learning

Posted 4 Days Ago
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London, Greater London, England
3-5 Years Experience
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
Dataiku is the platform for Everyday AI.
The Role
As a Software Engineer focused on AI and Machine Learning at Dataiku, you'll develop and enhance features for predictive algorithms using various technologies. Your work will involve turning specifications into features, addressing performance and usability issues, mentoring junior developers, and collaborating with the AI Lab on advanced projects.
Summary Generated by Built In

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.


Why Engineering at Dataiku?

Dataiku’s on-premise, cloud or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to  our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries. 

How you’ll make an impact

(Note: this is a Software Engineer position, focused on developing Dataiku's features and capabilities. We have separate positions open for Data Scientist, Research Scientist or ML Engineer)

Your role will be to add new features or improve existing ones to help our customers use predictive algorithms and put them into production with an intuitive and user-friendly interface, as well as APIs that let coders control and automate all those operations. You may also develop some other AI features (think NLP, time series, computer vision, labeling management, etc.) or collaborate with the AI Lab, our research department, to develop cutting edge POCs and experiments on a broad set of emerging machine learning topics.

The platform itself is in Java, Python and Scala for the backend, with JavaScript and Angular on the frontend.

Some expected outcomes for this role:

  • Turn ideas or product specifications into full-fledged product features, including unit and end-to-end tests.
  • Tackle complex problems that range from performance and scalability to usability, so that complicated machinery look straightforward and simple to use for our users.
  • Help your teammates: review code, spread your technical expertise, improve our tool chain
  • Bring your energy to the team!

What you'll need to be successful:

  • You have a significant experience in software engineering
  • You are interested in machine learning and are not afraid of statistics
  • You know that boosted trees are not only about silviculture
  • You can mentor less tenured developers, helping them grow both their technical and non-technical skill
  • You are customer-oriented — you want to understand how the product is used and solve actual customer problems

What does the hiring process look like? 

  • Initial call with a member of our Technical Recruiting team
  • Video call with an Engineering  Team Lead
  • Technical Assessment to show your skills (Home Test or Live Coding)
  • Debrief of your Tech Assessment with Engineering Team member
  • Final Interview with a VP Engineering #LI-Remote

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]

Top Skills

Java
JavaScript
Python
Scala
The Company
HQ: New York, NY
1,000 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future.

More than 600 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, Generative AI use cases, and everything in between.

Why Work With Us

Don’t get us wrong: we're a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we're committed to ensuring that each of them gets the most rewarding, enjoyable and memorable work experience with us.

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